A direct current (DC) motor is supposed to be operated at an accurate and constant speed even if the load on the system is increased or decreased. Speed control of dc motor can be achieved by flux control, armature control and voltage control. Convention closed loop speed control methods like the use of proportional-integral-derivative (PID) controller, proportional- integral (PI) controller or nonlinear auto-regressive moving average (NARMA) controller, fuzzy logic technique or the combination of fuzzy and artificial neural network (Neuro-Fuzzy). In the proposed system Fuzzy Logic Controller is used. In traditional closed loop speed control techniques PI controller is used
which show poor control performances for an integrating process and a large time delay process.
Moreover, it cannot incorporate ramp-type set-point change or slow disturbance. Fuzzy logic controllers (FLC's) have the following advantages over the conventional controllers: they are cheaper to develop, they cover a wider range of operating conditions, and they are more readily customizable in natural language terms. Fuzzy Logic Controller was proposed to achieve the speed control of a DC motor using armature voltage method by varying the armature voltage in the constant torque region and the field current in the constant power region. The armature voltage control method can provide wide range of speed control below the rated speed. Simulation results show the effectiveness of the proposed method. Fuzzy logic controller has ability in appropriately selecting the desired output (voltage) to maintain the motor speed at a constant reference value. Application of the proposed FLC will reduce the time of implementation.